Abstract
This paper investigates how the acceptance of data-driven political campaigning depends on four different message characteristics. A vignette study was conducted in 25 countries with a total of 14,390 respondents who all evaluated multiple descriptions of political advertisements. Relying on multi-level models, we find that in particular the source and the issue of the message matters. Messages that are sent by a party the respondent likes and deal with a political issue the respondent considers important are rated more acceptable. Furthermore, targeting based on general characteristics instead of individual ones is considered more acceptable, as is a general call to participate in the upcoming elections instead of a specific call to vote for a certain party. Effects differ across regulatory contexts, with the negative impact of both individual targeting and a specific call to vote for a certain party being in countries that have higher levels of legislative regulation.
Original language | English |
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Pages (from-to) | 1101-1119 |
Journal | Social Science Computer Review |
Volume | 42 |
Issue number | 5 |
Early online date | 30 Apr 2024 |
DOIs | |
Publication status | Published - 2024 |
Keywords
- acceptance
- cross-national comparison
- data driven campaigns
- data-driven campaigning
- elections
- microtargeting
- privacy
- privacy regulations
- vignette study
- vignettes